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Research on intelligent computing offloading model based on reputation value in mobile edge computing
Authors:Jin QI  Hairong SUN  Kun GONG  Bin XU  Shunyi ZHANG  Yanfei SUN
Affiliation:1. Internet of Things School,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;2. College of Automation &College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;3. Computer School,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
Abstract:Aiming at the problem of high-latency,high-energy-consumption,and low-reliability mobile caused by computing-intensive and delay-sensitive emerging mobile applications in the explosive growth of IoT smart mobile terminals in the mobile edge computing environment,an offload decision-making model where delay and energy consumption were comprehensively included,and a computing resource game allocation model based on reputation that took into account was proposed,then improved particle swarm algorithm and the method of Lagrange multipliers were used respectively to solve models.Simulation results show that the proposed method can meet the service requirements of emerging intelligent applications for low latency,low energy consumption and high reliability,and effectively implement the overall optimized allocation of computing offload resources.
Keywords:mobile edge computing  reputation value  game allocation  offloading decision  resource allocation  
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